Latest AI and machine learning research in intensivists for healthcare professionals.
BACKGROUND: The poor prognosis of sepsis warrants the investigation of biomarkers for predicting the...
BACKGROUND: The sympatholytic property of dexmedetomidine (DEX) makes it suitable as a hypotensive d...
Objective: Compare changes in cholesterol and lipoprotein levels occurring in septic patients with a...
Studies suggest that mangiferin (MAF) has good therapeutic effects on chronic bronchitis and hepatit...
Clinical risk prediction with electronic health records (EHR) using machine learning has attracted l...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common and serious complication that occ...
Vancomycin is recommended as first-line treatment of methicillin-resistant (MRSA) bacteremia, dose...
With the emergence of health data warehouses and major initiatives to collect and analyze multi-moda...
OBJECTIVE: In intensive care units (ICU), frequent false alarms from medical equipment can cause ala...
Flexible devices and functional systems with elaborated three-dimensional (3D) architectures can end...
BACKGROUND: Extracorporeal membrane oxygenation (ECMO) for acute respiratory distress syndrome (ARDS...
OBJECTIVE: Perform a scoping review of supervised machine learning in pediatric critical care to ide...
Extracting the rules of real-world multi-agent behaviors is a current challenge in various scientifi...
Sepsis is a complex and heterogeneous syndrome that remains a serious challenge to healthcare worldw...
BACKGROUND: Pulmonary vein isolation (PVI) is the cornerstone of atrial fibrillation (AF) ablation. ...
OBJECTIVES: We hypothesized that the immunosuppressive effects associated with antibiotics, sedative...
Robots can traverse sparse obstacles by sensing environmental geometry and avoiding contact with obs...
The prediction of the therapeutic intensity level (TIL) for severe traumatic brain injury (TBI) pati...
Delirium is a syndrome of acute brain failure which is prevalent amongst older adults in the Intensi...
This paper presents ConF, a novel deep learning model designed for accurate and efficient prediction...
Fluid overload, while common in the ICU and associated with serious sequelae, is hard to predict and...